Integrated planning method of charging station/PV integrated station based on AP clustering algorithm
The weight of PV(photovoltaic)output characteristic index is constructed based on entropy weight method,and the typical scenarios are generated by AP(adaptive clustering)lustering algorithm.Considering the time-space distribution characteristics of EV(ectric vehicle)oad and demand response ability,the load linkage time-space response model is established.Based on the optimization of charging sequence and spatial layout of EV,the multi-objective planning method for charging station/PV station is proposed with meetting the distance constraints of charging stations and network constraints,which target the minimum annual total cost of charging station and the optimal index of user satisfaction.Case study,the integrated planning scheme of charging station/PV station is obtained based on the trade-off between economy and satisfaction in each scenario.
charging station planningelectric vehicleAP clustering algorithmcustomer satisfaction
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